Search results for "multi-target"
showing 7 items of 7 documents
Inhibitory Effect of Kurarinone on Growth of Human Non-small Cell Lung Cancer: An Experimental Study Both in Vitro and in Vivo Studies
2018
Kurarinone, a flavonoid isolated from Sophora flavescens Aiton, has been reported to have significant antitumor activity. However, the cytotoxic activity of kurarinone against non-small cell lung cancer (NSCLC) cells is still under explored. In our study, we have evaluated the inhibitory effects of kurarinone on the growth of NSCLC both in vivo and in vitro as well as the molecular mechanisms underlying kurarinone-induced A549 cell apoptosis. The results showed that kurarinone effectively inhibited the proliferation of A549 cells with little toxic effects on human bronchial epithelial cell line BEAS-2B. FASC examination and Hoechst 33258 staining assay showed that kurarinone dose-dependentl…
Furocoumarins as multi-target agents in the treatment of cystic fibrosis.
2019
Multi-target molecular entities, offer a path to progress both in understanding causes of disease and in defining effective small molecule treatments. Coumarin and its derivatives belong to an important group of natural compounds with diverse biological properties. They are found in vegetables and plants for which literature reports thousands of publications for the great variety of biological applications among which the photoprotective effects, thus being considered multi-targeting agents. Their furan condensed analogues constitute the family of furocoumarins, less represented in the literature, endowed with photosensitizing properties and often used for the treatment of skin diseases suc…
Indicaxanthin, a multi-target natural compound from Opuntia ficus-indica fruit: From its poly-pharmacological effects to biochemical mechanisms and m…
2019
Abstract Over the latest years phytochemical consumption has been associated to a decreased risk of both the onset and the development of a number of pathological conditions. In this context indicaxanthin, a betalain pigment from Opuntia ficus-indica fruit, has been the object of sound research. Explored, at first, for its mere antioxidant potential, Indicaxanthin is now regarded as a redox-active compound able to exert significant poly-pharmacological effects against several targets in a number of experimental conditions both in vivo and in vitro. This paper aims to provide an overview on the therapeutical effects of indicaxanthin, ranging from the anti-inflammatory to the neuro-modulatory…
Instance-Based Multi-Label Classification via Multi-Target Distance Regression
2021
Interest in multi-target regression and multi-label classification techniques and their applications have been increasing lately. Here, we use the distance-based supervised method, minimal learning machine (MLM), as a base model for multi-label classification. We also propose and test a hybridization of unsupervised and supervised techniques, where prototype-based clustering is used to reduce both the training time and the overall model complexity. In computational experiments, competitive or improved quality of the obtained models compared to the state-of-the-art techniques was observed. peerReviewed
Greedy and K-Greedy algoritmhs for multidimensional data association
2011
[EN] The multidimensional assignment (MDA) problem is a combinatorial optimization problem arising in many applications, for instance multitarget tracking (MTT). The objective of an MDA problem of dimension $d\in\Bbb{N}$ is to match groups of $d$ objects in such a way that each measurement is associated with at most one track and each track is associated with at most one measurement from each list, optimizing a certain objective function. It is well known that the MDA problem is NP-hard for $d\geq3$. In this paper five new polynomial time heuristics to solve the MDA problem arising in MTT are presented. They are all based on the semi-greedy approach introduced in earlier research. Experimen…
Potential role of the natural multi-targeted agent curcumin in the treatment of oral diseases.
2009
We critically review the current data on the therapeutic effects and basic biological activities of the natural compound curcumin on various oral diseases: a sound experimental evidence appears to support its possible use against relevant pathologies which include cancer, radiotherapy- and chemotherapy-induced mucositis, lichen planus and periodontitis. This versatility of curcumin depends on its ability of interacting with multiple targets, though inhibition of the transcription factor NF-kB can be identified as one of the principal mechanisms. The therapeutic potentialities of curcumin in oral medicine have, however, to be further verified, in particular by more human ad hoc in vivo studi…
Problem Transformation Methods with Distance-Based Learning for Multi-Target Regression
2020
Multi-target regression is a special subset of supervised machine learning problems. Problem transformation methods are used in the field to improve the performance of basic methods. The purpose of this article is to test the use of recently popularized distance-based methods, the minimal learning machine (MLM) and the extreme minimal learning machine (EMLM), in problem transformation. The main advantage of the full data variants of these methods is the lack of any meta-parameter. The experimental results for the MLM and EMLM show promising potential, emphasizing the utility of the problem transformation especially with the EMLM. peerReviewed